Senior AI Machine Learning Engineer – Mission-Critical Model Deployment

TechFlow Inc

Contract · Remote · Flexible hours

About the role

TechFlow Inc is revamping its legacy production platform, codenamed "PulseCore", to achieve zero‑downtime deployments. As an AI Machine Learning Engineer you will design and integrate intelligent components that automate scaling, anomaly detection, and predictive maintenance within this modernization effort.

Key responsibilities

• Develop and deploy a real‑time anomaly detection model using PyTorch and Kafka streams to monitor PulseCore health.
• Implement a feature‑store pipeline in AWS S3 and Athena for continuous model training without service interruption.
• Collaborate with DevOps to containerize ML services with Docker and orchestrate them via Kubernetes for blue‑green releases.
• Design RESTful inference APIs in FastAPI, ensuring latency <100ms under peak load.
• Create automated CI/CD workflows in GitHub Actions that run model validation tests before each rollout.
• Document model versioning and rollback procedures to meet zero‑downtime SLAs.

Must-have skills

• Advanced Python programming and experience with ML libraries (PyTorch, TensorFlow).
• Strong understanding of MLOps concepts, containerization, and Kubernetes.
• Proficiency in building and securing REST APIs for model serving.
• Experience with streaming data platforms such as Kafka or Kinesis.
• Ability to write efficient SQL queries for feature extraction.

Nice to have

• Familiarity with AWS SageMaker or Azure ML pipelines.
• Background in time‑series forecasting for production systems.